Presentation
Pixels, Petabytes, and Predictions: The Supercomputing Demands of Modern Geospatial AI and How St. Louis Is the Center of Gravity
SessionBig Data
DescriptionThe proliferation of geospatial artificial intelligence (GeoAI) is generating unprecedented demands on high performance computing infrastructure. Training foundational Earth observation (EO) models on petabytes of satellite imagery, running inference across multi-modal global geospatial models, and generating global vector datasets like agricultural field boundaries and building footprints all require computational strategies at a massive scale.
These complex tasks, which are fundamental to both commercial industries and national security, push the boundaries of modern supercomputing, demanding novel approaches to data management, model parallelism, and distributed inference pipelines that can handle the sheer volume and velocity of geospatial data.
St. Louis has emerged as a critical epicenter for this technological convergence, fostering a unique ecosystem where GeoAI innovations are cross-pollinating between disparate domains. This presentation will highlight the region's synergistic environment, where cutting-edge techniques developed for precision agriculture directly inform vital applications in national security, and vice versa. We will explore specific case studies that demonstrate how this local cross-fertilization is accelerating the development of next-generation geospatial capabilities and cementing St. Louis's role as a global leader in solving planetary-scale challenges through supercomputing.
These complex tasks, which are fundamental to both commercial industries and national security, push the boundaries of modern supercomputing, demanding novel approaches to data management, model parallelism, and distributed inference pipelines that can handle the sheer volume and velocity of geospatial data.
St. Louis has emerged as a critical epicenter for this technological convergence, fostering a unique ecosystem where GeoAI innovations are cross-pollinating between disparate domains. This presentation will highlight the region's synergistic environment, where cutting-edge techniques developed for precision agriculture directly inform vital applications in national security, and vice versa. We will explore specific case studies that demonstrate how this local cross-fertilization is accelerating the development of next-generation geospatial capabilities and cementing St. Louis's role as a global leader in solving planetary-scale challenges through supercomputing.
Presenter
Event Type
Invited Talk
TimeThursday, 20 November 202511:15am - 12:00pm CST
LocationAmerica's Ballroom Tu-Th
AI, Machine Learning, & Deep Learning
Artificial Intelligence & Machine Learning
Big Data